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Traffic congestion identification and analysis of urban roadnetworkbased on granular computing
Ludong University,Yantai, China.
Ludong University,Yantai, China.
2014 (English)In: Applied Mechanics and Materials, 641-642, 2014, 2014, 916-922 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a generalized model based on the granular computing to recognize and analyze the traffic congestion of urban road network. Using the method of quotient space to reduce the attributes associatingwith traffic congestion, the identification of traffic congestion evaluation system is established including 3 first class indexes and second class indexes of 11. The weight of evaluation indexes are sorted by value in descending order, which are calculated based on rough set theory. In order to improve the efficiency of traffic congestion identification, the appropriate granular is determined by the model parameter μ. When μis larger, the identification is more effective and the run time of model is longer conversely. Experiments show when the value of μ is between 0.8 and 0.98, the effect of traffic congestion identification is comprehensive optimal.

Place, publisher, year, edition, pages
2014. 916-922 p.
Keyword [en]
Dynamic traffic data, Fuzzyquotient space, Granular computing, Traffic congestion, Computation theory, Hydraulic structures, Hydraulics, Motor transportation, Rough set theory, Shore protection, Urban growth, Congestion evaluation, Evaluation index, Generalized models, Model parameters, Quotient space, Urban road networks
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:mdh:diva-26947DOI: 10.4028/www.scientific.net/AMM.641-642.916Scopus ID: 2-s2.0-84914703910ISBN: 9783038352594 (print)OAI: oai:DiVA.org:mdh-26947DiVA: diva2:773473
Conference
3rd International Conference on Civil, Architectural and Hydraulic Engineering, ICCAHE 2014; Hangzhou; China; 30 July 2014 through 31 July 2014
Available from: 2014-12-19 Created: 2014-12-19 Last updated: 2014-12-19Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf